Page 53 - AI for Good-Innovate for Impact

AI for Good-Innovate for Impact

model will leverage its understanding of the procurement domain, laws, and regulations
to provide detailed corruption probability reports.
5. Project Follow-up and Monitoring: Extend the AI-powered solution to the project follow-
up stage by enabling stakeholders to upload relevant documents, such as contracts,
implementation reports, and payment records. The system will analyze these documents to 8 - PCCB
ensure compliance, identify potential issues, and track project progress. This progression
into the project's subsequent phase involves adopting a multi-modal approach to refine
the system's capabilities for a more nuanced and sophisticated analysis.
6. Decision Support and Intervention: The AI system's corruption probability reports and
project monitoring insights will empower the PCCB and other stakeholders to make
informed decisions, intervene proactively to prevent corruption, and ensure transparency
throughout the tendering and project implementation phases.

8�3� Use case requirements

• REQ-01: It’s critical that the system implements an AI-powered system capable of
monitoring procurement processes and project execution in real time and providing
real-time analytics and reporting.
• REQ-02: It’s critical that the system utilize NLP techniques to analyze text data from tender
documents, evaluation reports, and corruption cases.
• REQ-03: It’s critical that the system implements text classification to detect potential
corruption cases and develop algorithms to detect anomalies and irregularities in
procurement data.
• REQ-04: It’s critical that the system use multimodal analysis to integrate various data
types for comprehensive insights and ensure accessibility to public procurement data
and project records.
• REQ-05: It’s critical that the system train models using historical data to predict and
identify patterns of fraud or mismanagement and fine-tune models with supervised
learning for specific tasks related to anti-corruption.
• REQ-06: It’s critical that the system provides a user-friendly interface for investigators to
access and analyze data. Also, it enables real-time reporting and visualization of analytics.

8�4� Sequence diagram

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